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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Bifacial Performance Modeling in Large Arrays
摘要： Bifacial modules are being deployed at large PV systems, because of the potential to increase energy output, but their performance is still uncertain, increasing financial risk. To address the opportunity that bifacial modules present, we have developed a bifacial performance model and integrated it into a full PV system model to estimate the backside irradiance, combine it with the front side, and predict the total output power. To understand the effect of bifacial on performance, the NIST test array was simulated with bifacial modules and compared to an equivalent monofacial system while varying tilt from 20° to 40°. A bifacial gain of 10% was observed which increased with increasing tilt angle. The maximum yield occurred at 30° for the bifacial system, but at 25° for the monofacial system, demonstrating the advantage of modeling bifacial systems to optimize their performance.
关键词： view factor,bifacial,system performance,shading
更新于2025-09-23 15:21:01
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Technical-economic analysis of the first mini-generation photovoltaic system of Piau?-, Brazil
摘要： The first distributed mini-generation photovoltaic system in the state of Piauí was installed on the Floriano campus of the Federal Institute of Piauí. The system consists of 660 photovoltaic modules and occupies an area of approximately 1.122 m2 of roof. This article aims to evaluate the performance of the first year of operation, which runs from May 2016 to June 2017, compared to technical and economic aspects. The technical analysis was done through the calculation of the indexes of merit: Final Productivity Performance Rate and Capacity Factor. In the economic viability analysis were used the concepts of Net Present Value, Internal Rate of Return, Payback and Cost-Benefit Ratio. The results demonstrate that the system has technical feasibility, since it presented a good generation in its first year of operation, with production superior to other systems installed in public educational institutions of Brazil. In addition, it has shown a positive balance in the Net Present Value, but with a long Payback and a very high Cost-Benefit Ratio, which may compromise its economic viability. However, in view of the institution's final activity, the installation of the photovoltaic system will bring benefits beyond the reduction of electricity consumption, if used in teaching, research and extension activities.
关键词： Operational performance,Economic evaluation,Photovoltaic system
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - PV Plant Performance Loss Rate Assessment: Significance of Data Filtering and Aggregation
摘要： Predicting the performance of parallel scienti?c applications is becoming increasingly complex. Our goal was to characterize the behavior of message-passing applications on different target machines. To achieve this goal, we developed a method called parallel application signature for performance prediction (PAS2P), which strives to describe an application based on its behavior. Based on the application’s message-passing activity, we identi?ed and extracted representative phases, with which we created a parallel application signature that enabled us to predict the application’s performance. We experimented with using different scienti?c applications on different clusters. We were able to predict execution times with an average accuracy greater than 97 percent.
关键词： performance prediction,application signature,Parallel application
更新于2025-09-23 15:21:01
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Deep Learning-based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic Performance.
摘要： Topic: Diagnostic performance of deep learning-based algorithms in screening patients with diabetes for diabetic retinopathy (DR). The algorithms were compared to the current gold standard of classification by human specialists. Clinical relevance: As DR is a common cause of visual impairment, screening is indicated to avoid irreversible vision loss. Automated DR-classification using deep learning may be a suitable new screening tool that could improve diagnostic performance and reduce manpower. Methods: For this systematic review, we aimed to identify studies that incorporated the use of deep learning in classifying full-scale DR in retinal fundus images of patients with diabetes. The studies had to provide a DR-grading scale, a human grader as a reference standard and a deep learning performance score. A systematic search on April 5, 2018 through Medline and Embase yielded 304 publications. To identify potentially missed publications, the reference lists of the final included studies were manually screened, yielding no additional publications. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used for risk of bias and applicability assessment. Results: Based on objective selection, we included 11 diagnostic accuracy studies that validated the performance of their deep learning method using either a new group of patients or retrospective datasets. Eight studies reported sensitivity and specificity of 80.28%–100.0% and 84.0%–99.0%, respectively. Two studies report accuracies of 78.7% and 81.0%. One study provides an area under the receiver operating curve (AUC) of 0.955. In addition to diagnostic performance, one study also reported on patient satisfaction, showing that 78% of patients preferred an automated deep learning model over manual human grading. Conclusion: Advantages of implementing deep learning-based algorithms in DR-screening include reduction in manpower, cost of screening and issues relating to intra- and intergrader variability. However, limitations which may hinder such an implementation particularly revolves around ethical concerns regarding lack of trust in the diagnostic accuracy of computers. Considering both strengths and limitations as well as the high performance of deep learning-based algorithms, automated DR classification using deep learning could be feasible in a real-world screening scenario.
关键词： Diagnostic performance,Diabetic retinopathy,Automated classification,Neural network,Deep learning,Screening
更新于2025-09-23 15:21:01
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[IEEE 2019 International 3D Systems Integration Conference (3DIC) - Sendai, Japan (2019.10.8-2019.10.10)] 2019 International 3D Systems Integration Conference (3DIC) - Development of Laser-Assisted Bonding with Compression (LABC) Process for 3D IC Integration
摘要： Laser-Assisted Bonding with Compression (LABC) technology with NCF was proposed to accomplish the productivity and process reliability at the same time. A quartz block as a header was used to deliver a pressure to the devices because of its extremely low absorption of the laser during the bonding process. Newly developed NCF for LABC was designed to have stability on a hot stage and to show solder wetting and fast curing with no void and optimal fillet during the LABC bonding process. As the laser is used as a heat source, the uniform heat should be provided on each interconnection without any damages on chip or a substrate. 780μm-thick daisy chain top and bottom chips with the minimum pitch of 30μm and bump number of about 27,000 were successfully bonded using the LABC and NCF film.
关键词： throughput,non-conductive film,laser-assisted bonding,bonding performance,TCB,thermal compression bonding,NCF,LABC,compression
更新于2025-09-23 15:21:01
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Novel strategy for fabrication of sensing layer on thiol-functionalized fiber-optic tapers and their application as SERS probes
摘要： This work presents a new strategy to fabricate optical fiber surface-enhanced Raman scattering (SERS) probes with high-performance remote sensing prepared by thiol functionalization of silica fiber taper, and further in situ nucleation and growth of silver nanoparticles (AgNPs). The prepared fiber probes can effectively identify the analyte 4-aminothiophenol (4-ATP) with a limit of detection (LOD) as low as 2.15×10-11 M using a portable commercial Raman spectrometer. Simultaneously, such fiber probes have shown a good reproducibility with the relative standard deviation (RSD) value of 7.6%, and possessed high signal stability at room temperature over one month. Furthermore, this approach provides new insight into the fabrication of fiber SERS probe integrated the advantages in terms of sensitivity, reproducibility and stability, which shows great potential for practical SERS applications.
关键词： Thiol functionalization,SERS performance,Probe,Silver nanoparticles,Optical fiber
更新于2025-09-23 15:21:01
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How the Mixed Cations (Guanidium, Formamidinium, and Phenylethylamine) in Tin Iodide Perovskites Affect Their Charge Carrier Dynamics and Solar Cell Characteristics
摘要： Despite recent interest in lead-free Sn iodide perovskite (ASnI3) solar cells, the role of mixed A-site cations is yet to be fully understood. Here, we report the effect of the ternary mixing of organic A-site cations (guanidium, GA; formamidinium, FA; and phenylethylamine, PEA) on the solar cell performance and charge carrier dynamics that are evaluated using time-resolved microwave conductivity (TRMC). (GAxFA1?x)0.9PEA0.1SnI3 exhibits the maximum power conversion efficiency (PCE) of 7.90% at x = 0.15 and a drastic decrease with increasing GA content. Notably, our TRMC measurements of ASnI3 with/without a hole transport layer reveal the same trend with the devices. From the analyses, we suggest that a variation of electron mobility affected by the location of the GA cation in the grains significantly impacts the PCE. Our work sheds light on the role of mixed A-site cations and directs a route toward the further development of Sn perovskite solar cells.
关键词： time-resolved microwave conductivity,mixed A-site cations,solar cell performance,Sn iodide perovskite,charge carrier dynamics,lead-free
更新于2025-09-23 15:21:01
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Cathode Interface Engineering Approach for a Comprehensive Study of the Indoor Performance Enhancement in Organic Photovoltaic
摘要： Organic photovoltaic (OPV) has a prospective future as a reliable energy harvesting to drive low power consumption devices for indoor applications. In this article, the outdoor (1 sun) and indoor (LED 2700K) performance of PTB7-Th:PC70BM inverted OPV with three different solution-processed electron transport layers (ETL = PFN, TiOx, and ZnO) were compared. The morphology, optical, and electrical measurements indicate the strong dependency of the OPV performance with the illumination conditions. The sample with PFN-ETL that shows the highest outdoor performance with power conversion efficiency (PCE) of 10.55% and the best-reported fill factor (FF) of 75.00% among PTB7-Th:PC70BM-based OPV, surprisingly exhibits the lowest performance when illuminated under 250–2000 lux LED 2700K. Meanwhile, the lowest outdoor performance performed by ZnO with PCE of 10.03% displays the best indoor performance with the PCE of 13.94% under 1000 lux and a PCE of up to 16.49% under 1750 lux LED lamp, respectively. The changes in the FF values can be estimated by incorporating the parasitic resistance effect due to the type ETL used. Besides, using impedance spectroscopy, we observed that indoor performance agreed well with the trend of charge collection efficiency.
关键词： impedance spectroscopy,Organic photovoltaic,electron transport layers,PTB7-Th:PC70BM,indoor performance
更新于2025-09-23 15:21:01
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Unraveling the Complex Nanomorphology of Ternary Organic Solar Cells with Multimodal Analytical Transmission Electron Microscopy
摘要： Elucidating the complex materials distribution in the active layers of ternary organic solar cells is one of the greatest challenges in the field of organic photovoltaics. Knowledge of the nanomorphology is key to understanding photophysical processes (e.g. charge separation, adjustment of the recombination mechanism as well as suppression of the radiationless and energetic losses) and thus improving the device performance. Here, we demonstrate for the first time the successful discrimination and spatial mapping of the active layer components of a ternary organic solar cell using analytical transmission electron microscopy. The material distribution of all three organic components was successfully visualized by multimodal imaging using complementary electron energy loss signals. A complete picture of the morphological aspects could be gained by studying the lateral and cross-sectional morphology as well as the morphology evolution as a function of the mixing ratio of the polymers. Finally, a correlation between the morphology, photophysical processes and device performance of the ternary and the reference binary system was achieved, explaining the differences of the power conversion efficiency (PCE) between the two systems.
关键词： device performance,EFTEM,morphology,TEM,Ternary organic solar cells
更新于2025-09-23 15:21:01
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<i>(Invited) The Scaling-Down and Performance Optimization of InAs Nanowire Field Effect Transistors</i>
摘要： Due to their fascinating properties, InAs nanowires have drawn great attention for the channel material in future transistors. Scaling-down has been an effective way to improve the performance of transistors continuously for decades. Here, we review our recent progresses on InAs nanowire field effect transistors (FETs) when they are scaled down. Our group investigates the electrical characteristics of InAs nanowire thinner than 10 nm. Both the size-effect and the contact properties of ultrathin nanowires are explored. Moreover, the effects of InAs crystal phase and orientation are studied for further optimizing the device performance. In addition, FETs with partial gate are studied to suppress the BTBT-induced off-current. Furthermore, to improve the electrostatics control of the gate, our group develops a method to fabricate vertical GAA FETs with all-metal electrodes based on self-catalyzed grown InAs nanowire arrays.
关键词： orientation,crystal phase,performance optimization,field effect transistors,partial gate,vertical GAA FETs,InAs nanowires,scaling-down
更新于2025-09-23 15:21:01